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Artificial Intelligence is reshaping how work happens, yet few people understand its human impact. The Human-AI Decoder makes that impact visible, offering a practical guide to the future of work. Drawing on two decades of digital transformation experience, Mario Jacober introduces the AI Workforce Impact Model and its Six Levels of AI Impact classification. Together, they help readers assess where AI is changing work, how deeply that change runs and how to respond responsibly.
Through real-world use cases and practical tools, Jacober brings clarity to the human side of AI, helping organisations lead change with confidence and care. As AI reshapes roles and expectations, the book extends this perspective to Human–Machine Resources, a future-facing evolution of HR that helps organisations clarify responsibilities and design workplaces where people and intelligent systems can succeed together. The Human-AI Decoder is a practical playbook and a call to responsible action: to protect what makes work human, design the future with intention and meet the age of AI with courage and confidence.
In a world of AI-complexity, Mario masterfully captures how AI changes work to gain high impact that leads to improved actions. The Human-AI Decoder turns AI aspirations into relevant and real daily choices that make a difference. Anyone using AI for information or efficiency will make better decisions using the Decoder because it integrates the human and technology.
— Dave Ulrich, Rensis Likert Professor Emeritus,University of Michigan Partner, The RBL Group
Mario Jacober leads the regional HR Operations and Technology in APAC for a global insurance company. He also serves on the boards of the Swiss Chamber of Commerce and the Swiss School in Singapore.
Part I. Understanding AI
Chapter 1. Why AI’s Greatest Impact is Human
Chapter 2. Evolution of AI
Chapter 3. The Next Intelligence
Part II. Decoding AI
Chapter 4. The Human-AI Decoder
Chapter 5. The Six Levels of AI Impact
Chapter 6. Decoding the Critical AI Questions
Part III. Leading AI
Chapter 7. An AI-Ready Organisation
Chapter 8. Preparing People for AI
Chapter 9. Human-Machine Resources
Closing Note